Search results

Recent studies have suggested that the workplace fear of missing out (Workplace FoMO) harms employees' health and performance. Thus, the present study examines the impact of workplace FoMO and organisational support (OSP) on innovative work performance (IP) using dual theoretical lenses based on the conservation of resource theory (COR) and self-determination theory (SDT). Furthermore, this study investigates the mediating role of enterprise social media (ESM) use and psychological well-being (PW).

The present study uses a rigorous methodology using structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The author has conducted a cross-sectional survey to collect data on working professionals in India’s service industries (i.e. IT & ITeS; information technology enables services). Moreover, SEM was employed to analyse the data based on (n = 240) responses. Furthermore, fsQCA was used to reveal configurational models.

The SEM results revealed that workplace FoMO harms PW and stimulates ESM use. OSP has a positive impact on ESM use and PW. Furthermore, ESM use is positively associated with PW and enriches IP. The ESM use partially and significantly mediates (a) workplace FoMO and PW, and (b) OSP and PW. The fsQCA results revealed that two configurational models, (a) “ESM” and (b) “OSP*PW”, are vital in enhancing IP.

The present study utilises symmetric and asymmetric modelling approaches considering a separate prediction-oriented pioneer method. This study provides a novel perspective and adds new insights to the literature on ESM use, workplace FoMO and employee-related outcomes.

This paper aims to examine project management segments based on customer satisfaction drivers and loyalty rather than traditional demographic or behavioural variables.

Data were gathered over 18 consecutive months, and 3,129 surveys were completed using a questionnaire. The statistical methods included partial least squares (PLS) structural equation modelling, finite mixture segmentation, prediction-oriented segmentation (PLS-POS) and multi-group analysis (PLS-MGA).

The findings indicate the existence of three segments among system delivery project customers based on the differences in the strengths of the path coefficients in the customer-centric structural model. In Segment 1, satisfaction based on the proposal was crucial for loyalty, with the value-for-money construct negatively impacting the repurchase intent construct. Segment 2 had a solid value-for-money orientation. In Segment 3, the critical path indicated that satisfaction drove repurchase intention, with satisfaction based mainly on the installation.

The research contributes to the segmentation theory by introducing a new way to segment the systems delivery projects customers based on the perceived strength of the relationships in a customer-centric structural model, which aligns with traditional segmentation theory in a way that most segmentation analyses do not. A new segmentation approach to the domain of project management theory is presented. Based on the results, treating the system delivery project customer base as a single homogenous group can lead to managerially misleading conclusions.

Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide building blocks for future inquiry, practice and innovation. This article summarizes the findings of an analysis of the adoption and reporting of partial least squares structural equation modeling (PLS-SEM) analytical tools by Industrial Management & Data Systems authors in the most recent five-year period.

Selected emerging advanced PLS-SEM analytical tools that have experienced limited adoption are highlighted to broaden awareness of their value to IS researchers.

PLS-SEM analytical tools that facilitate understanding increasingly complex theoretical models and deliver improved prediction assessment are now available. IS researchers should explore the opportunities to apply these new tools to more fully describe the contributions of their research.

Findings demonstrate the increasing acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is a preferred structural equation modeling (SEM) method in many research settings and will become even more widely applied when IS researchers are aware of and apply the new analytical tools.

Emerging PLS-SEM methodological developments will help IS researchers examine new theoretical concepts and relationships and publish their work. Researchers are encouraged to engage in more complete analyses by applying the applicable emerging tools.

Applications of PLS-SEM for prediction, theory testing and confirmation have increased in recent years. Information system scholars should continue to exercise sound practice by applying these new analytical tools where applicable. Recommended guidelines following Hair et al. (2019; 2022) are included.

Drawing on mindfulness theory, this study attempts to gain insights into whether leader-mindfulness (LM) influences workplace cynicism (WPC) among non-family employees (NFEs) working in small and medium-sized private family firms. Furthermore, the study leverages the self-determination theory to examine if the above relationship is mediated by the belongingness of the NFEs to the organization and leader–member exchange quality (LMXQ).

A conceptual framework with a set of hypotheses is developed. Using cross-sectional survey data collected from 376 NFEs working in small and medium-sized private family firms in Oman, the hypotheses are tested using structural equation modeling that was analyzed through PLS-SEM.

The results indicate that LM influences WPC both directly and through the mediating effect of LMXQ. The findings also suggest that, while LM influences belongingness, and that belongingness also mediates the relationship between LM and LMXQ. However, belongingness does not mediate the relationship between LM and WPC, either by itself or serially.

The prevalence of WPC among NFEs in family firms hinders the ability of such organizations to retain talented employees that are outside the family circle. Hence, this study presents nuanced insights to those who manage such organizations, as it reveals that leading the family business mindfully can markedly reduce WPC among NFEs, particularly when LM enhances LMXQ.

The study makes four novel contributions. First, this appears to be the first study at the crossroads of the family business and organizational behavior literature to investigate the under-researched topic of WPC among NFEs in family firms. Second, the study provides insights into the relationship between LM and WPC by developing a conceptual framework that draws on mindfulness theory and self-determination theory. Third, it identifies the mediating role of LMXQ in the link between LM and WPC. Finally, it reveals that, although the belongingness of NFEs to their organization is influenced by LM, it does not automatically influence WPC.

This research aims to understand the smartphone security behavior using protection motivation theory (PMT) and tests the current PMT model employing statistical and predictive analysis using machine learning (ML) algorithms.

This study employs a total of 241 questionnaire-based responses in a nonmandated security setting and uses multimethod approach. The research model includes both security intention and behavior making use of a valid smartphone security behavior scale. Structural equation modeling (SEM) – explanatory analysis was used in understanding the relationships. ML algorithms were employed to predict the accuracy of the PMT model in an experimental evaluation.

The results revealed that the threat-appraisal element of the PMT did not have any influence on the intention to secure smartphone while the response efficacy had a role in explaining the smartphone security intention and behavior. The ML predictive analysis showed that the protection motivation elements were able to predict smartphone security intention and behavior with an accuracy of 73%.

The findings imply that the response efficacy of the individuals be improved by cybersecurity training programs in order to enhance the protection motivation. Researchers can test other PMT models, including fear appeals to improve the predictive accuracy.

This study is the first study that makes use of theory-driven SEM analysis and data-driven ML analysis to bridge the gap between smartphone security’s theory and practice.

Although researchers have carried out considerable work on organizational citizenship behavior (OCB), the questions of whether and how adopting a positive leadership style leads subordinate employees to engage in interpersonal citizenship behavior (ICB) remain, thus far, unanswered. To address this research gap, this study aimed to uncover the possible underlying mediation mechanism.

Partial least squares structural equation modeling (PLS-SEM) was used to test the research model using data collected by means of a three-wave online survey with 166 respondents.

The results indicated that the organization-based self-esteem (OBSE) of subordinate employees mediated the effect of supervisors using a positive leadership style on subordinates engaging in person-focused ICB.

The importance of positive leadership is revealed in the finding of a self-consistency-based positive spillover effect, according to which the use of a positive leadership style directly benefits subordinates by enhancing their OBSE. This subsequently motivates them to engage in person-focused ICB, which benefits their coworkers. Thus, a positive leadership style creates a positive dynamic in the workplace.

This study aims to determine the factors that influence the actual behavior of Islamic digital banking customers based on the users’ perspectives during the recovery from the COVID-19 pandemic crisis.

This study used a causal exploratory method with quantitative and qualitative approaches presented in two parts. The first study (Study 1) was empirical testing of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) used WARP-partial least square by modifying the variables of customer trust and satisfaction. A. Hayes’s PROCESS procedures were applied to examine the moderating effects of age, gender and experience. The second study (Study 2) explored the obstacles and solutions to improve digital banking services. The survey was conducted on 897 Islamic bank customers throughout Indonesia.

The results showed that all the hypotheses about the direct effect of the modification of the UTAUT2 model were supported empirically except for the effect of price value and hedonic motivation on behavioral intention, and there was just one moderating effect in this study. The other results show that 35 factors became obstacles to using digital banking.

This study had limited qualitative data collection techniques that were less deep and comprehensive. This happened because respondents were given complete confidence to fill in the open questions without any follow-up to customer answers. For further research, an in-depth interview method can be added to crucial information from the customer and expert side to get in-depth and complementary data regarding constraints and solutions. This study only used a sample of customers of Islamic banks; further research is expected to use customers of Islamic banks and conventional banks to compare their preferences for digital banking.

This study offered seven strategies that could encourage increased digital banking transactions to accelerate crisis management, mitigate cybercrime and communicate the positive impact of digital banking effectively and efficiently.

This study offered seven strategies that could encourage increased transactions using digital banking to accelerate crisis management, mitigate cybercrime and communicate the positive impact of digital banking effectively and efficiently.

Most of the existing studies focused on the modification model of the UTAUT2 model. The study is unique because it has proposed the obstacle and solution to improve digital banking service in Islamic Bank in Indonesia.

Gamification is a strategic approach employed by practitioners to foster meaningful engagement and enhance the acceptance of recommendations. Gamification affordances (e.g. achievement, self-expression, interaction, and cooperation) catalyze significant psychological processes in consumers, leading to behavioral changes. Despite its application, a gap remains in understanding how these gamification affordances in e-commerce contexts impact customers' perceived values and drive recommendation acceptances.

Employing affordance theory and perceived value theory as our foundation, we have crafted a comprehensive framework that addresses the multifaceted nature of e-commerce gamification, thereby unifying the fragmented knowledge in this area. We implemented a quantitative research design to empirically test the proposed model.

The research reveals that the four principal affordances of gamification – achievement, self-expression, interaction, and cooperation – significantly enrich consumer values across hedonic, utilitarian, and social dimensions. This enrichment facilitates an increased propensity for accepting recommendations.

This study provides a novel lens through which to view the influence of gamification affordances on recommendation acceptance within gamified e-commerce settings. It delineates the effects of each affordance on consumers' perceived value and highlights the pivotal affordances that shape gamified e-commerce experiences. These insights yield actionable strategies for practitioners aiming to refine e-commerce gamification designs and cultivate more engaging consumer interactions.

This study examined the revisit intention of tourists in Muslim-friendly hotels in nexus with Halal-friendly hotel attributes (social environment, facilities, food and beverage, locals and staff, and services), corporate image, customer engagement, perceived value, and service encounter evaluation. It further examined the mediating role of corporate image, customer engagement and perceived value between Halal-friendly hotel attributes and service encounter evaluation.

Using a structured survey instrument, 390 valid responses were gathered from international tourists who visited Malaysia. The collected data were analyzed using Partial Least Squares – Structural Equation Modeling (PLS-SEM) to test the assumed relationships.

The research shows that corporate image (CI), customer engagement (CE), and perceived value (PV) are directly influenced by Halal-friendly hotel attributes (HFHA) and exert influence on service encounter evaluation (SEE). Findings also suggest the mediating effect of CI, CE, and PV between HFHA and SEE. SEE further positively and significantly enhances the revisit intention and positive word-of-mouth.

The findings of this study stipulate that hotel owners should ensure the presence of HFHA in their offers to retain their existing guests and ensure their positive communication towards potential visitors through developing a fascinating image, engagement, and lucrative value.

Grounded on the attribution theory, this study contributes to the Halal tourism literature by exploring the role of Halal-friendly hotel attributes in enhancing the hotel’s image, customer engagement, and perceived value to enhance positive service encounter evaluation and revisiting intention for the hotel.